Demographics details for Saint cloud, MN vs Eau claire, WI
Population Overview
Compare main population characteristics in Saint cloud, MN vs Eau claire, WI.
Data | Saint cloud | Eau claire |
---|---|---|
Population | 69,568 | 69,737 |
Median Age | 30.3 years | 32.8 years |
Median Income | $58,910 | $63,882 |
Married Families | 30.0% | 34.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 4.3 | 3.0 |
Population Comparison: Saint cloud vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 69,568 in Saint cloud.
- The median age in Eau claire is higher at 32.8 years, compared to 30.3 years in Saint cloud.
- Eau claire has a higher median income of $63,882, compared to $58,910 in Saint cloud.
- In Eau claire, the percentage of married families is higher at 34.0%, compared to 30.0% in Saint cloud.
- Saint cloud has a higher poverty level at 11% compared to 10% in Eau claire.
- The unemployment rate in Saint cloud is higher at 4.3%, compared to 3.0% in Eau claire.
Demographics
Demographics Saint cloud vs Eau claire provide insight into the diversity of the communities to compare.
Demographic | Saint cloud | Eau claire |
---|---|---|
Black | 18 | 1 |
White | 68 | 86 |
Asian | 4 | 6 |
Hispanic | 4 | 3 |
Two or More Races | 6 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint cloud vs Eau claire
- A higher percentage of Black residents are in Saint cloud at 18% compared to 1% in Eau claire.
- The percentage of White residents is higher in Eau claire at 86% compared to 68% in Saint cloud.
- In Eau claire, the Asian population stands at 6%, greater than 4% in Saint cloud.
- The Hispanic community is larger in Saint cloud at 4% compared to 3% in Eau claire.
- More residents identify as two or more races in Saint cloud at 6% compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Saint cloud and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saint cloud | Eau claire |
---|---|---|
Mental Health Not Good | 16.2% | 15.3% |
Physical Health Not Good | 10.4% | 9.8% |
Depression | 24.3% | 23.6% |
Smoking | 19.0% | 15.2% |
Binge Drinking | 20.3% | 24.8% |
Obesity | 41.9% | 32.2% |
Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Saint cloud vs Eau claire
- More residents in Saint cloud report poor mental health at 16.2% compared to 15.3% in Eau claire.
- Depression is more prevalent in Saint cloud at 24.3% compared to 23.6% in Eau claire.
- Smoking is more prevalent in Saint cloud at 19.0% compared to 15.2% in Eau claire.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 20.3% in Saint cloud.
- Obesity rates are higher in Saint cloud at 41.9% compared to 32.2% in Eau claire.
- There is a higher percentage of disabled individuals in Eau claire at 13.0% compared to 12.0% in Saint cloud.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Saint cloud | Eau claire |
---|---|---|
No Schooling | 1.0% (723) | 0.5% (340) |
High School Diploma | 12.6% (8,774) | 14.2% (9,934) |
Less than High School | 8.0% (5,546) | 3.7% (2,573) |
Bachelor's Degree and Higher | 17.3% (12,024) | 21.6% (15,073) |
Education Levels Comparison: Saint cloud vs Eau claire
- A higher percentage of residents in Saint cloud have no formal schooling at 1.0% compared to 0.5% in Eau claire.
- In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 12.6% in Saint cloud.
- More residents in Saint cloud have less than a high school education at 8.0% compared to 3.7% in Eau claire.
- In Eau claire, a larger share of residents have a bachelor's degree or higher at 21.6% compared to 17.3% in Saint cloud.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.